DocumentCode
3600733
Title
Many-Core Processors Granularity Evaluation by Considering Performance, Yield, and Lifetime Reliability
Author
Jianming Yu ; Wei Zhou ; Yueming Yang ; Xiaodong Zhang ; Zhiyi Yu
Author_Institution
Dept. of Microelectron., Fudan Univ., Shanghai, China
Volume
23
Issue
10
fYear
2015
Firstpage
2043
Lastpage
2053
Abstract
Network-on-chip based many-core processors break the limitations faced with single-core processors, and can bring high performance, improved yield, and high reliability. They are widely considered as the most promising platform. One of the most important questions is: what kind of granularity of cores (in other words, the number of cores and the area of each core under specific area constraint of the chip) is the best for many-core processors? Performance is widely used as the most important metric to determine the choice, but recently, reliability and yield are also becoming the first-class constraints in many application domains. This paper presents a novel performance model by considering practical program style, including pipelined and parallel program styles, as well as intercore communication, and proposes a new metric combing performance, reliability, and yield of many-core processors to choose the core granularity. According to our paper, with a given area (300 mm2) and certain applications, the optimal result is obtained using 8 × 8 mesh when all three factors are considered.
Keywords
integrated circuit reliability; multiprocessing systems; network-on-chip; core granularity; intercore communication; lifetime reliability; many-core processors granularity evaluation; network-on-chip based many-core processors; single-core processors; Analytical models; Mathematical model; Measurement; Pipelines; Program processors; Reliability; System performance; Granularity; lifetime reliability; many-core system; metric; performance; yield; yield.;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2014.2359076
Filename
6933912
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